Synchronous learning refers to a learning event in which a group of students are engaging in learning at the same time. Before learning technology allowed for synchronous learning environments, most online education took place through asynchronous learning methods.
Synchronous communication between two people requires them to both be present at a given time. Examples of Synchronous Learning are chat and IM, video and audio conference, live webcasting, application sharing, whiteboard, polling, and virtual classrooms. This I will not cover in detail as these are basic methods that most of the organizations are already familiar with.
Asynchronous events are time-independent. A self-paced course is an example of Asynchronous Learning because online learning takes place at any time.
E-mail or discussion forums are examples of asynchronous communication tools. In such cases, students ideally complete the course at their own pace, by using a Learning Platform like an LMS. Examples of Asynchronous Learning are Self-paced (SCORM), Audio/Video, E-mail, Discussion forum, Wiki/Blog, Webcasting/Conferencing, CBT and WBT, Simulations, Game-based learning.
Blended learning, also known as hybrid learning, is a teaching method that combines in-person and online learning. It can offer several benefits, including:
Flexibility: Students can learn at their own pace and in different places.
Digital skills: Blended learning can help students develop 21st-century skills.
Active learning: Blended learning can encourage students to be more active learners.
Independent learning: Blended learning can encourage students to learn independently and take more control of their learning.
Performance: Blended learning can improve student performance and close the gap between traditional and non-traditional learners.
Accessibility: Blended learning can improve accessibility and promote equity.
Blended learning can be delivered through a variety of channels, including webcasting, online video, and learning management systems. Some platforms that can be used for blended learning include Khan Academy. Different methods of blended learning may be more suitable for different students and their needs.
Machine learning (ML) is a branch of artificial intelligence (AI) and computer science that focuses on the using data and algorithms to enable AI to imitate the way that humans learn, gradually improving its accuracy.
Deep learning is a subset of machine learning that uses multilayered neural networks, called deep neural networks, to simulate the complex decision-making power of the human brain. Some form of deep learning powers most of the artificial intelligence (AI) applications in our lives today.
Augmented reality (AR) and virtual reality (VR) are technologies that can be used in training to create realistic learning experiences: Augmented reality (AR) Combines the real world with virtual elements, such as overlaying digital information onto the real world. For example, AR can be used to project virtual instructions onto a workstation while working on a machine. Virtual reality (VR) Creates a 3D virtual environment that simulates real-world scenarios. For example, VR can be used to simulate a workspace and allow learners to handle virtual objects with controllers.